Quantitative interpretation of the physical processes associated with the interannual variation of South Asian summer monsoon

The South Asian summer monsoon (SASM) is of considerable scientific and social importance to the densely populated South Asia. Existing literature signified that the interannual variation of the SASM can be reflected by multiple dynamical and radiative processes. However, quantifying their relative contributions remains inadequate, particular for the contribution of aerosol process. Here, the land-sea thermal contrast index (LSTCI) is employed to represent the large-scale thermal driving at the mid–upper troposphere associated with the SASM, which is defined as temperature difference between the southern Eurasia (SE) and the tropical Indian Ocean (TIO) at the mid–upper troposphere. Based on the coupled atmosphere-surface climate feedback-response analysis method, this study linearly decomposes the total temperature change associated with the LSTCI into several partial temperature changes associated with individual dynamical and radiative processes. Our result demonstrates that the LSTCI is mainly explained by the positive contributions of atmospheric dynamic (69%), water vapor (35%), and aerosol (11%) processes, which are partially offset by a negative contribution of cloud process (-18%). Surface dynamic process play a neglectable role in the LSTCI, because it exerts similar effects on the temperature anomalies over the SE and the TIO. Further analysis indicates that the total effect of aerosols is dominated by change in black carbon. As two important components, the temperature anomalies over the SE and the TIO separately account for about 55% and 45% to the LSTCI. Our finding provides a new insight onto quantitatively understanding the relevant processes involved in the SASM variation.

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Publication Details

Journal
Climate Dynamics
Published
2024-11-26
DOI
https://doi.org/10.1007/s00382-024-07494-7
Citations
1
Primary Topic
Climate variability and models
Type
article
Field-Weighted Citation Impact
0.28

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Quantitative interpretation of the physical processes associated with the interannual variation of South Asian summer monsoon

Tuantuan Zhang, Dake Chen, Wei Yu, Kaiqiang Deng et al.
1 citations
Climate Dynamics
Climate variability and models
0.28
article

Quantitative interpretation of the physical processes associated with the interannual variation of South Asian summer monsoon

Tuantuan Zhang, Dake Chen, Wei Yu, Kaiqiang Deng, Song Yang, Yimin Liu, Junwen Chen, Lianlian Xu
article en
1 citations

Abstract

The South Asian summer monsoon (SASM) is of considerable scientific and social importance to the densely populated South Asia. Existing literature signified that the interannual variation of the SASM can be reflected by multiple dynamical and radiative processes. However, quantifying their relative contributions remains inadequate, particular for the contribution of aerosol process. Here, the land-sea thermal contrast index (LSTCI) is employed to represent the large-scale thermal driving at the mid–upper troposphere associated with the SASM, which is defined as temperature difference between the southern Eurasia (SE) and the tropical Indian Ocean (TIO) at the mid–upper troposphere. Based on the coupled atmosphere-surface climate feedback-response analysis method, this study linearly decomposes the total temperature change associated with the LSTCI into several partial temperature changes associated with individual dynamical and radiative processes. Our result demonstrates that the LSTCI is mainly explained by the positive contributions of atmospheric dynamic (69%), water vapor (35%), and aerosol (11%) processes, which are partially offset by a negative contribution of cloud process (-18%). Surface dynamic process play a neglectable role in the LSTCI, because it exerts similar effects on the temperature anomalies over the SE and the TIO. Further analysis indicates that the total effect of aerosols is dominated by change in black carbon. As two important components, the temperature anomalies over the SE and the TIO separately account for about 55% and 45% to the LSTCI. Our finding provides a new insight onto quantitatively understanding the relevant processes involved in the SASM variation.

Climate DynamicsVol. 63(1)
Sun Yat-sen University (CN), Chinese Academy of Sciences (CN), Ministry of Natural Resources (CN), Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou) (CN), Second Institute of Oceanography (CN), Institute of Atmospheric Physics (CN), University of Chinese Academy of Sciences (CN), Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai) (CN)
National Natural Science Foundation of China, Natural Science Foundation of Guangdong Province
Climate action
Openalex Percentile: Top 40%
Climate variability and models
0.28
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